Hands-On Quantum Machine Learning With Python is your comprehensive guide to get started with Quantum Machine Learning - the use of quantum computing for the computation of machine learning algorithms ...

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research.

PennyLane continues to be available to everyone as an open-source Apache 2.0 licensed python library. PennyLane is an open-source software framework for quantum machine learning, quantum chemistry ...

Moreover, the text explores the fascinating domain of quantum machine learning and offers insights on executing ... The reader is expected to understand basic Python programming and libraries such as ...

Abstract: sQUlearn introduces a user-friendly, NISQ-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine learning tools like scikit-learn.

Python has grown in popularity over the years to become one of the most popular programming languages for machine learning (ML) and artificial intelligence (AI) tasks. It has replaced many of the ...

In other words, there is still little evidence that quantum computers are being applied to real-world use cases in AI, ML (machine learning ... Q# language as well as Python, C#, and other ...

More recently it has become a leading language in machine learning. In this article we’ll look at the four major reasons why Python has become a juggernaut in that field. The first major reason ...

Participants of Xanadu’s quantum machine learning hackathon, QHACK (image courtesy Xanadu). Xanadu is only the latest product of Canada’s forward-thinking investments in quantum computing; in the past ...

Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...